The Department of Defense (DoD) Motion Imagery Standards Board (MISB) has adopted ITU-T Rec. H.264 (Baseline, Main, and Extended Profiles) to be the standard for applications constrained by low bandwidth channels (typically less than 1 Mb/s that may not be adequately supported by MPEG-2). H.264 will be carried over the MPEG-2 transport streams using ISO/IEC 13818-1:2000/FPDAM 3: "Information technology --Generic coding of moving pictures and associated audio: Systems, AMENDMENT 3: Transport of ISO/IEC 14496 part 10 [ITU-T H.264] video data over ISO/IEC 13818-1" (DRAFT). This is a part of a new principal called "Xon2" to support the "seamless" rollout of advanced video compression technologies without disrupting current and future operations and systems. "X" defines existing or future video compression technologies and "on2" refers to the use of MPEG-2 transport streams and files. The MISB predecessor VWG standardized on MPEG-2 (H.262) in 1996. "2on2" payloads have been successfully deployed using standards compliant MPEG-2 compressed video elementary streams, audio elementary streams, and SMPTE standard 336M KLV encoded metadata as MPEG-2 private data streams in support of unmanned aerial vehicle (UAV) operations. Building on this baseline "2on2" capability, "Xon2" will provide a migration path to inject improved compressions technologies, which will yield improved image quality and/or reduced bandwidths. NIMA’s Persistent Surveillance Office anticipates accelerating fielding of "264on2" using advanced video compression standard H.264 as described in this paper.
KEYWORDS: Weapons, Sensors, Chemical elements, Explosives, Weapons of mass destruction, Biological weapons, Industrial chemicals, Computer security, Commercial off the shelf technology
Since April 2001, the Oklahoma City National Memorial Institute for the Prevention of Terrorism has funded an effort by Hicks &Associates, Inc. and the Terrorism Research Center, Inc., aimed ultimately at improving local, state, and federal emergency responders’ capabilities for mitigating the effects of chemical, biological, radiological, nuclear or explosive/ incendiary (CBRNE) terrorism. This effort, titled “Project Responder,” began by developing an understanding of how state and local responders view their current capabilities, shortfalls, and needs. This paper discusses some of the results of this first phase of the effort that has resulted in a comprehensive report titled "Emergency Responders’ Needs, Goals, and Priorities." This paper addresses two of the capabilities from that report which we believe are of most interest to this conference. There are ten other capabilities discussed in the report, which may also be of interest.
KEYWORDS: Video, Distortion, Video compression, Analog electronics, Image registration, Error analysis, Video processing, Signal to noise ratio, Image processing, Computer programming
Conventional analog video test measurements are generally not adequate for digital video, especially compressed video. This is because digital video distortion and artifacts often are spatially and temporally discrete phenomena. Most analog measurements assume that errors are of a continuous, linear nature. The only alternative to data has been subjective testing. Formal subjective tests (e.g., CCIR 500) can provide reliable, relative measures of video quality. However, such testing is time-consuming and expensive. Objective testing methods are needed to provide efficient, repeatable measures of video quality. A further advantage of objective testing is that it can provide greater insights into the nature of impairments. Presently, no standardized objective measures exist for digital video. However, pioneering work has been done by NTIA, NASA, ACATS and others to quantify the quality of digital video codecs. We have implemented some of the published measurements and others of our own design on a low-cost workstation. These measures utilize complex digital image processing techniques to analyze differences between source and processed video sequences. This paper presents formulations of these measurements and describes our implementation of an automated system to capture and test digital video quality.
KEYWORDS: Video, Cameras, Signal to noise ratio, Zone plates, Televisions, Data communications, Telecommunications, Satellites, Video compression, High speed photography
A series of experiments was conducted over the past three years to prepare NASA for the use of high-definition television. In 1989 and in 1990, HDTV technology was evaluated for potential use in launch operations, real-time image analysis, and media dissemination at the Kennedy Space Center (KSC). Evaluation of camera and lens performance is reported here. In November 1991, an experiment was done at the Johnson Space Center (JSC) to evaluate the quality of HDTV that was digitized, compressed to a 45 Mbps data stream, and transmitted through the NASA communications network. The JSC experiment consisted of back-to-back bench tests of the Alcatel/Telettra high-definition coder/decoder (codec), followed by data transmission through the NASA Shuttle communications simulator, and most importantly, actual transmission through the NASA Tracking and Data Relay Satellite System (TDRSS), with a second satellite hop through a domestic satellite and a fiber-optic link at JSC. Static and dynamic test signals were used to test codec performance as were various types of subjective- test scenes with detail and motion. Included in the subjective material was IMAX film shot in space and transferred directly to high-definition video at 30 frames/second. Static tests highlighted the effects of the 54 MHz sampling rate in the codec. Color reproduction tests showed very little color error, even when transcoding externally from GBR signals. Dynamic test signals characterized the DCT and motion-compensation algorithm. Frame-by-frame analysis showed a small reduction in horizontal resolution, small color errors in fine detail, and reduced horizontal and vertical resolution immediately following transitions, where the effect was almost entirely masked by the transitions. Subjective codec performance on moving images at nominal TDRSS bit-error-rates (BER) was extremely good. The codec designers have done a very good job of leaving out information that is not perceived while including almost all information that is needed. Expert viewers, trained in image analysis, gave excellent ratings to the system at typical TDRSS signal levels.
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